啪啪免费视频,啪啪啪app软件下载,啪啪啪网站

Welcome to the official website of Kangliang Electromechanical Equipment Co., Ltd.!

Favorite Kangliang | Contact Us

康亮机电

Kangliang Electromechanical Equipment Co., Ltd.

Rental of professional brand generator sets
康亮机电康亮机电

National Advisory Service Hotline: 136-7735-6587

Popular keywords: generator rental, generator rental price, used generator recycling, used generator rental, used generator rental price, used generator rental

东莞市康亮机电有限公司
Ranch
contact us
National Service Hotline: 136-7735-6587


Contact: Mr. Zhang


Phone: (0769) 87186846

186-8866-08l5 <Guangdong>

136-7735-6587 <National>

Address: Zhangyang Management Zone, Zhangmutou Town

Home > News> Industry News

Analysis of electrical fault diagnosis for second-hand generator rental

发表时间:2018-12-20 10:14:52 【 Popularity: 947Published time: 2018-12-20 10:14:52 [Large Middle Small]

Analysis of electrical fault diagnosis for second-hand generator rental

As the phenomenon of generator rental failure is closely related to the cause of failure, the occurrence of each failure phenomenon may be caused by one or more failure causes, and each failure will cause some phenomena accordingly, plus large-scale power generation There are many types of machine failures, so the complexity and ambiguity of their failure phenomena, causes, and mechanisms are difficult to describe with accurate mathematical models, and it is difficult to rely solely on deterministic criteria to determine the nature of the failure. The system principle and fuzzy theory are combined to find out the fuzzy relationship between the causes and phenomena of electrical faults during generator operation. After fuzzy reasoning, intelligent diagnosis of second-hand generator rental electrical faults can be realized. 1. The introduction of fuzzy theory can solve the problem during the production process. Some factors have an uncertain relationship with each other. In the field of generator electrical fault diagnosis, a fuzzy relationship matrix can be used to reflect the relationship between some of its failure phenomena and the cause of the failure, as described in detail below.
Let XY denote the input and output respectively, and respectively represent the quantified set of the cause and phenomenon of the fault, then: 1, 2, ..., n; then the fuzzy relationship equation is: where R = (ri /) mKn, ri / belongs to, Called the strength of the relationship between Xi and y, r / = 0 means irrelevant. The larger ri /, the closer the relationship, and the smaller n /, the smaller the relationship.
The causes and phenomena of common electrical faults in the industry are analyzed. First determine the input, that is, the electrical fault cause matrix X. If it represents the ground fault of phase A of the stator, see Table 1 for details. Then determine the output. The generator lease is the electrical fault phenomenon matrix Y. For example, UaI represents the phase A voltage drop at the machine terminal. Representation, see Table 2 and Table 1 for input fuzzy set (fault cause) fault cause input fault cause input stator A phase grounding rotor one point grounding stator B phase grounding rotor two point grounding stator C phase grounding loss of stator three phases Ground fault overload stator A-phase interturn short circuit external short-circuit fault stator B-phase interturn short circuit stator C-phase interturn short circuit Table 2 Output fuzzy set (fault phenomenon) fault phenomenon output fault phenomenon output fault phenomenon output An U U Ua / A / b Uf Ub / c / f C In Table 2, A. is the machine-side zero-sequence current; it is the machine-side zero-sequence voltage; Q <0 is the negative value indicated by the reactive meter; U is the stator insulation monitoring voltage; (/ a- / a) is the differential current between the primary and secondary sides of the differential protection relay; Ilhn is the unbalanced current at the neutral side; U is the positive voltage of the rotor winding to ground; Uf is the excitation voltage; / f is the rotor current combined with the operating experience of a thermal power plant in a power plant and consults with Expert, can form the fuzzy relationship matrix R between the cause of the fault and the phenomenon of the failure. See Table 3 for details. Table 3 lists the relationship between the 23 types of electrical failure phenomena and the 12 types of electrical failure reasons. The strength of the relationship, 0.9 means a close relationship, 0.5 means a general relationship, 0 2 means a small relationship. It is irrelevant how to determine the fuzzy relation matrix elements and thresholds, which is the key to determining whether the fuzzy reasoning is correct or not. Their values are the reflection of expert knowledge and second-hand generator rental operation practices, which are refined after long-term analysis. For the evaluation of the fuzzy relation matrix element ri /, the "fuzzy statistical method" can be used http://hzbxx.cn/



Recommended Products
  • 500KW Power Generation Unit
    500KW Power Generation Unit
  • 450KW Power Generation Unit
    450KW Power Generation Unit
  • 50KW generator set
    50KW generator set
  • Jichai generator set
    Jichai generator set
  • Cummins 250KW generator set
    Cummins 250KW generator set
  • Cummins 200KW generator set
    Cummins 200KW generator set
  • Cummins 800KW generator set
    Cummins 800KW generator set
  • Cummins 600KW generator set
    Cummins 600KW generator set
  • Cummins KTA38 generator set
    Cummins KTA38 generator set
  • Cummins 1000KW generator set
    Cummins 1000KW generator set
  • Cummins 1200kw generator set
    Cummins 1200kw generator set
  • Yuchai generator set
    Yuchai generator set